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Olivier Chapelle
Olivier Chapelle
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Tytuł
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Semi-Supervised Learning
O Chapelle, B Scholkopf, A Zien
MIT Press, 2006
7638*2006
A discussion of semi-supervised learning and transduction
O Chapelle, B Scholkopf, A Zien
Semi-Supervised Learning. MIT Press, Cambridge, MA, 457-462, 2006
7505*2006
Choosing multiple parameters for support vector machines
O Chapelle, V Vapnik, O Bousquet, S Mukherjee
Machine learning 46 (1), 131-159, 2002
33712002
Support vector machines for histogram-based image classification
O Chapelle, P Haffner, VN Vapnik
IEEE transactions on Neural Networks 10 (5), 1055-1064, 1999
22791999
Scaling learning algorithms toward AI
Y Bengio, Y LeCun
18392007
An empirical evaluation of thompson sampling
O Chapelle, L Li
Advances in neural information processing systems 24, 2011
17252011
Feature selection for SVMs
J Weston, S Mukherjee, O Chapelle, M Pontil, T Poggio, V Vapnik
Advances in neural information processing systems, 668-674, 2001
15512001
Semi-supervised classification by low density separation
O Chapelle, A Zien
International workshop on artificial intelligence and statistics, 57-64, 2005
12252005
Training a support vector machine in the primal
O Chapelle
Neural Computation 19 (5), 1155-1178, 2007
10352007
Expected reciprocal rank for graded relevance
O Chapelle, D Metlzer, Y Zhang, P Grinspan
Proceeding of the 18th ACM conference on Information and knowledge …, 2009
9892009
Bounds on error expectation for support vector machines
V Vapnik, O Chapelle
Neural computation 12 (9), 2013-2036, 2000
8772000
Yahoo! learning to rank challenge overview
O Chapelle, Y Chang
JMLR: Workshop and Conference Proceedings 14, 1-24, 2011
7132011
Cluster kernels for semi-supervised learning
O Chapelle, J Weston, B Schölkopf
Advances in neural information processing systems 15, 585-592, 2002
6862002
A dynamic bayesian network click model for web search ranking
O Chapelle, Y Zhang
Proceedings of the 18th international conference on World wide web, 1-10, 2009
6702009
Optimization techniques for semi-supervised support vector machines.
O Chapelle, V Sindhwani, SS Keerthi
Journal of Machine Learning Research 9 (2), 2008
5752008
Model selection for support vector machines
O Chapelle, V Vapnik
Advances in neural information processing systems 12, 230-236, 1999
4951999
Embedded methods
T Lal, O Chapelle, J Weston, A Elisseeff
Feature Extraction, 137-165, 2006
4482006
A Reliable Effective Terascale Linear Learning System
A Agarwal, O Chapelle, M Dudik, J Langford
Arxiv preprint arXiv:1110.4198, 2011
4432011
Simple and scalable response prediction for display advertising
O Chapelle, E Manavoglu, R Rosales
ACM Transactions on Intelligent Systems and Technology, 2014
4232014
Building support vector machines with reduced classifier complexity
SS Keerthi, O Chapelle, D DeCoste
The Journal of Machine Learning Research 7, 1493-1515, 2006
3802006
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